BSc Artificial Intelligence and Data Science with Foundation Year
Entry requirements
UCAS tariff: 72 A level: DDD T Level: Pass BTEC: MMP GCSE: GCSE Maths and English Grade 4/Grade C (or above) or equivalent qualification Access to HE: Pass Access to HE Diploma with 60 credits: 45 at Level 3 with a minimum of Distinction: 0, Merit: 30, Pass: 15 English language: IELTS: 6.0 (with at least 5.5 in each skills area)
About this course
BSc (Hons) in Computer Science (Artificial Intelligence), covering the mathematical foundations of data analysis and AI. Core topics include Programming, Data Analysis, Statistics, Mathematical Modelling, Artificial Intelligence & Machine Learning, and Ethics & Professional Practice. Students can take an optional placement year between years two and three. The final-year Individual Project requires an independent dissertation and the development of a practical artefact.
Modules
- Professional Practice
- Preliminary Mathematics
- Scholarship for Technologists
- Technology Project
- Introduction to Computational Mathematics
- Programming Fundamentals
- Logic and Discrete Mathematics
- Introduction to Probability and Statistics
- Calculus
- Programming
- Introduction to Data Science and Modelling
- Professional Work Skills
- Legal, Ethical and Sustainability Issues
- Team Project
- Linear Algebra
- Statistical Methods for Data Analysis
- Introduction to Machine Learning
- Operational Research
- Statistical Modelling
- Frontiers in Artificial Intelligence and Data Science
- Individual Project
- Optimisation techniques
- Advanced analytics